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Siyeong's Projects

bayes-nn icon bayes-nn

Lecture notes on Bayesian deep learning

bmvc_2019 icon bmvc_2019

PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"

cio icon cio

Computational Intelligence Optimization

deconstructing-mine icon deconstructing-mine

Official implementation of the paper "Combating the Instability of Mutual Information-based Losses via Regularization" (UAI 2022)

deep-hist icon deep-hist

PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

enas-pytorch icon enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

hdr-imaging icon hdr-imaging

An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mld_crf icon mld_crf

Multi-lane detection in urban driving environments using conditional random fields

pydensecrf icon pydensecrf

Python wrapper to Philipp Krรคhenbรผhl's dense (fully connected) CRFs with gaussian edge potentials.

reinforcement_learning icon reinforcement_learning

๊ฐ•ํ™”ํ•™์Šต์— ๋Œ€ํ•œ ๊ธฐ๋ณธ์ ์ธ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ตฌํ˜„

relativisticgan icon relativisticgan

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

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